Give Claude Code superpowers — parallel multi-model queries, smart routing, and image/video generation across OpenAI (GPT-5, o-series, GPT Image), Gemini (Imagen 4, Veo, Nano Banana), DeepSeek, Kimi, Grok, and 12+ providers
Playwright Tools for MCP
mcp-ui Client SDK
NestJS module for creating Model Context Protocol (MCP) servers
mcp-ui Server SDK
Model Context Protocol implementation for TypeScript
The **Model Context Protocol (MCP) client** for the [AI SDK](https://ai-sdk.dev/docs) lets you connect to MCP servers and use their tools with AI SDK functions like `generateText` and `streamText`.
Paperclip adapter for Hermes Agent — run Hermes as a managed employee in a Paperclip company
LangChain.js adapters for Model Context Protocol (MCP)
Multi-root editor implementation for CKEditor 5.
Deco CMS — Self-hostable MCP Gateway for managing AI connections and tools
Lightweight core CLI surface for Claude Flow — memory + hooks commands only. Designed to load fast on cold npx cache (<5s) so plugin skills don't race the 30s MCP-startup timeout. The full @claude-flow/cli metapackage lazy-loads everything else on top of
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MCP server for Chrome DevTools
MCP Middleware for Hono
MCP server for interacting with MySQL databases with write operations support
Standalone HTTP server for multi-model-agent. Routes tool-invocation work to Claude, Codex, or OpenAI-compatible sub-agents with async-polling REST dispatch and installable skills for Claude Code, Gemini CLI, Codex CLI, and Cursor.
The simplest way to build AI-powered apps
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The official [Model Context Protocol (MCP)](https://modelcontextprotocol.io/) server for [LaunchDarkly](https://launchdarkly.com/).
Autonomous AI agent memory system with CLAUDE.md protocol enforcement
Alias package for @nbiish/giizhendam-aabajichiganan-mcp.
Dual-protocol payment infrastructure for autonomous AI commerce (AP2 + ACP)
MCP server for Firecrawl — search, scrape, and interact with the web. Supports both cloud and self-hosted instances. Features include web search, scraping, page interaction, batch processing, and LLM-powered content analysis.
Multi-schema client and server Model Context Protocol (MCP) implementation. Implements the full MCP spec through transpilation of the MCP TypeScript definitions, making it easy to implement your server or client in Ruby.
An MCP (Model Context Protocol) server that provides browser automation tools for AI agents using Ferrum and headless Chrome. Features 25 tools covering navigation, screenshots, form interaction, JavaScript evaluation, cookies, file downloads, and multi-session management.
RobotLab is a Ruby framework for building and orchestrating multi-robot LLM workflows. Built on ruby_llm, it provides robots with template-based prompts, tools, and shared memory; networks for coordinating multiple robots with intelligent routing; MCP (Model Context Protocol) integration for external tool servers; and a memory system with Redis backend and semantic caching. Optional gems add Rails integration (robot_lab-rails), durable learning (robot_lab-durable), Ractor concurrency (robot_lab-ractor), and document storage (robot_lab-document_store).
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